Waste management (WM) optimization is one of the key tasks to realize circular economy and achieve sustainability in large metropolitan areas. In this regard, location models are one of the main quantitative tools for spatial planning of service networks and, in combination with other methods such as data analytics and simulation, they can be effectively used in order to support network reengineering processes. Considering the WM setting, these models are able to support the reality of decision making whenever they also take into account the underlying network changes such as demand evolution, cost patterns modifications, transport and facility technology progresses.
Optimal Network Design for Waste Management in Regional Districts: the PIPER Project
Stecca G;Ventura P
2022
Abstract
Waste management (WM) optimization is one of the key tasks to realize circular economy and achieve sustainability in large metropolitan areas. In this regard, location models are one of the main quantitative tools for spatial planning of service networks and, in combination with other methods such as data analytics and simulation, they can be effectively used in order to support network reengineering processes. Considering the WM setting, these models are able to support the reality of decision making whenever they also take into account the underlying network changes such as demand evolution, cost patterns modifications, transport and facility technology progresses.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
